Data & Machine Learning Engineer at Percept Solutions
Singapore, Southeast, Singapore -
Full Time


Start Date

Immediate

Expiry Date

23 Apr, 25

Salary

8000.0

Posted On

24 Jan, 25

Experience

3 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Metrics, Pipeline Development, Spark, Python, Data Solutions, Validation, Data Infrastructure, Agile Methodologies, Key Metrics, Modeling, Sql, Power Bi, Github, Testing, Data Transformation, Data Engineering

Industry

Information Technology/IT

Description

The Data & Machine Learning Engineer plays a hybrid role that focuses on developing a modern Lakehouse platform, building data pipelines, and deploying machine learning models at scale. This position blends the responsibilities of a Data Engineer and Machine Learning Engineer to ensure robust data infrastructure and effective deployment of ML models. The ideal candidate will collaborate with cross-functional teams, working closely with Data Analysts, Business Analysts, and DevOps engineers to deliver reliable, scalable, and efficient data and ML solutions.

SKILLS & EXPERIENCE:

  • Strong teamwork skills, able to align data solutions with business needs, and communicate effectively across technical and non-technical teams.
  • Expertise in analyzing data-driven insights and translating them into technical solutions.
  • Proficient in designing and implementing data pipelines using Databricks and Spark.
  • Advanced skills in SQL and Python for querying, modeling, and transforming data efficiently.
  • Expertise in deploying machine learning models and creating APIs for serving predictions.
  • Skilled in processing large-scale datasets and supporting machine learning workflows on Databricks.
  • Experience in building CI/CD pipelines for automated deployment, testing, and validation of data pipelines and ML models using GitHub and GitHub Actions.
  • Proven ability to monitor ML model performance, track key metrics, and maintain accuracy.
  • Experience with automating cloud infrastructure using tools like Terraform for consistent deployment and scaling.
  • Basic knowledge of Power BI for visualizing model performance and metrics.

QUALIFICATIONS REQUIRED:

  • 5+ Years in Data Engineering: Solid experience building and maintaining data infrastructure, including best practices in data pipeline development.
  • 3+ Years in Machine Learning Engineering: Demonstrated experience managing the lifecycle of ML models from deployment to monitoring and retraining.
  • Business & Data Transformation: Proven track record in supporting business transformation and process improvements by leveraging data-driven solutions.
  • Agile Methodologies: Comfortable working in Agile environments with the ability to adapt and respond quickly in fast-paced settings.
    EA Licence No.:18S9405 / EA Reg. No.:R1330864
    Job Type: Full-time
    Pay: $8,000.00 - $14,000.00 per month

Schedule:

  • Day shift
  • Monday to Friday

Work Location: In perso

Responsibilities
  • Build, automate, and optimize ETL/ELT pipelines to ensure smooth data flow and availability across the Lakehouse platform.
  • Partner with analysts to design scalable data storage solutions optimized for analytics and ML applications.
  • Ensure data quality by implementing monitoring mechanisms to guarantee consistency, reliability, and compliance.
  • Continuously monitor ML models, retrain and adjust them as necessary to maintain high performance.
  • Design and implement CI/CD pipelines for seamless model deployment and ensure reliable delivery of models into production environments.
  • Provide guidance and mentorship to junior engineers, supporting their growth and enhancing project delivery capabilities.
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